ICDM ARIAL'2017: 1st Workshop on Data mining for Aging, Rehabilitation and Independent Assisted Living (ARIAL) in conjunction with International Conference on Data Mining (ICDM'2017) |
Website | https://sites.google.com/view/arial2017 |
Submission deadline | August 7, 2017 |
Paper Submission | August 15, 2017 |
Start | November 18, 2017 |
Workshop Details and Scope
According to a United Nation’s report on World Population Aging (2015), the number of people in the world aged 60 or over is projected to grow to 2.1 billion by year 2050. Aging can come with various complexities and challenges, such as frailty and decline in cognitive and mental health of a person.
Assistive technology refers to any device, equipment or tool that is used to maintain, increase or improve the functional capabilities of older adults or persons with disabilities. The field of assistive technology amalgamates several multi-disciplinary areas including computer science, rehabilitation engineering, data mining, clinical studies, health care, and psychology. Collecting health data using assistive technology devices is a challenging task. Mining useful information from the vast amount of health and activity-related data from older adults is important. These data and the results from data mining can help to build models that facilitate independent assisted living, promote healthy and active lifestyle, and manage rehabilitation routines effectively.
List of Topics
In this workshop, we invite previously unpublished and novel submissions in the following areas, but not limited to:
- Methods and protocols for data collection with older adult populations.
- Techniques for continuous streaming and monitoring of health and activity data for older adults.
- Methodologies for big data and large-scale data mining.
- Data curation, sharing and harmonization.
- Data analytics and visualization techniques for healthcare data.
- Machine learning techniques to identify abnormal behaviours and rare activities.
- Methods to detect harmful and life-threatening events in older adults such as falls, strokes, seizures, agitation, aggression, wandering.
- Older adults-centred Social Media Analytics.
- Interactive solutions for engaging older adults to help in socializing, memorizing, reducing isolation and promote healthy living.
- Use of wearable, vision, and ambient sensors or their fusion for detection of physical, cognitive and affective (emotional) disabilities or decline.
- Data mining challenges such as handling missing information, dealing with mixed, imbalanced and noisy data.
- Other innovative data mining approaches that can be translated to applications for older adult populations.
Submission Guidelines
Paper submissions will be managed through the IEEE ICDM CyberChair system. Please submit your papers at the following website: Data Mining for Aging, Rehabilitation and Independent Assisted Living (ARIAL)
Best Paper Award - Cash Award(s) will be conferred at the workshop on the authors of the best paper. A committee will review the selected papers and the paper with maximum votes will get the award.
Submitted papers will be reviewed by at least two independent referees from the Program Committee. Paper submissions should be limited to a maximum of ten (10) pages, in the IEEE 2-column format (link), including the bibliography and any possible appendices. Submissions longer than 10 pages will be rejected without review. All submissions will be triple-blind reviewed by the Program Committee on the basis of technical quality, relevance to scope of the conference, originality, significance, and clarity. The following sections give further information for authors.
Committees
Program Committee
- Thomas Kirste, University of Rostock, Germany
- Jesse Hoey, University of Waterloo, Canada
- Thomas Ploetz, Georgia Institute of Technology, USA
- Christopher Nugent, Ulster University., UK
- Jesus Favela, CICESE, México
- Babak Taati, Toronto Rehabilitation Institute, Canada
- Daniel Lizotte, University of Western Ontario, Canada
- Jennifer Boger, University of Waterloo, Canada
- Marek Grzes, University of Kent, UK
- Ahmad Bilal Ashraf, Toronto Rehabilitation Institute, Canada
- Rosalie Wang, University of Toronto, Canada
- Robby Goetschalckx, Eduworks Corporation, Corvallis, USA
- Alexandra König, Université de Nice Sophia Antipolis, France
- Belkacem Chikhaoui, Computer Research Institute of Montréal, Canada
- Mohammad Mehedy Masud, UAE University, Al-Ain, UAE
- Abhinav Dhall, Indian Institute of Technology Ropar, India
Organizing committee
- Alex Mihailidis, University of Toronto, Canada
- Shehroz Khan, University of Toronto and Toronto Rehabilitation Institute, Canada
- Amir Ahmad, United Arab Emirates University, UAE
Contact
Contact the following persons (please add 'ARIAL' keyword anywhere in the subject of your email for quick response):
- Shehroz Khan
- Amir Ahmad
Or fill in the contact form with your query - https://sites.google.com/view/arial2017/announcements/contact-us - First Call for Papers is also available on WikiCfP.